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Two Worlds of Trust for Potential E-Commerce Users: Humans as Cognitive Misers

Author

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  • Ben Q. Liu

    (Department of Information Systems, College of Business, City University of Hong Kong, Kowloon, Hong Kong SAR)

  • Dale L. Goodhue

    (MIS Department, Terry College of Business, University of Georgia, Athens, Georgia 30606)

Abstract

In this paper we consider the impact of trust on a new visitor's intention to revisit a website, but instead of using the typical expectancy-value theories as our conceptual basis, we look at the issue from the perspective of cognitive complexity and “humans as cognitive misers.” Starting with the suggestion that it is cognitively taxing to distrust, we propose that in order to conserve on cognitive resources, once a new visitor has convinced him or herself that a website is “trustworthy enough,” that user will drop trustworthiness from their concerns and only consider other characteristics of the website (e.g., task-technology fit, aesthetic appeal, etc.) in determining their revisit intention. This leads to what we call a “trust tipping point” and two different worlds of trust. Above the tipping point revisit intention is constructed in one way, and below the trust tipping point it is constructed in a quite different way. This perspective results in very different recommendations for website designers as to the likely payoff from improving task-technology fit, aesthetic appeal, or trustworthiness, depending upon where their existing website stands relative to the trust tipping point. To test our hypotheses we used data from 314 student website users, and expanded a technique called piecewise regression (Neter et al. Applied Linear Statistical Models , 4th ed.) to allow us to analyze data as two different linear surfaces, joined at the tipping point. We found good support for our assertions that users operate differently above and below a trust tipping point.

Suggested Citation

  • Ben Q. Liu & Dale L. Goodhue, 2012. "Two Worlds of Trust for Potential E-Commerce Users: Humans as Cognitive Misers," Information Systems Research, INFORMS, vol. 23(4), pages 1246-1262, December.
  • Handle: RePEc:inm:orisre:v:23:y:2012:i:4:p:1246-1262
    DOI: 10.1287/isre.1120.0424
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    References listed on IDEAS

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    4. Wang, Xueqin & Wong, Yiik Diew & Liu, Feng & Yuen, Kum Fai, 2021. "A push–pull–mooring view on technology-dependent shopping under social distancing: When technology needs meet health concerns," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    5. Sullivan, Yulia W. & Kim, Dan J., 2018. "Assessing the effects of consumers’ product evaluations and trust on repurchase intention in e-commerce environments," International Journal of Information Management, Elsevier, vol. 39(C), pages 199-219.
    6. Byoungsoo Kim, 2018. "The Role of Dedication-Based and Constraint-Based Mechanisms in Consumers’ Sustainable Outcomes in the Coffee Chain Industry," Sustainability, MDPI, vol. 10(8), pages 1-17, July.
    7. Schmitt, Lars & Haupenthal, Isabel & Bin Ahmed, Faisal, 2021. "Website Design and Trust Elements: A/B Testing on a Start-up's Website," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2021), Hybrid Conference, Zagreb, Croatia, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Hybrid Conference, Zagreb, Croatia, 9-10 September 2021, pages 166-177, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.
    8. Dominick Werner & Martin Adam & Alexander Benlian, 2022. "Empowering users to control ads and its effects on website stickiness," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1373-1397, September.
    9. Sun, Yongqiang & Wang, Nan & Yin, Chunxiao & Zhang, Jacky Xi, 2015. "Understanding the relationships between motivators and effort in crowdsourcing marketplaces: A nonlinear analysis," International Journal of Information Management, Elsevier, vol. 35(3), pages 267-276.
    10. Tamara Dinev & Allen R. McConnell & H. Jeff Smith, 2015. "Research Commentary—Informing Privacy Research Through Information Systems, Psychology, and Behavioral Economics: Thinking Outside the “APCO” Box," Information Systems Research, INFORMS, vol. 26(4), pages 639-655, December.
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